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Integrity report for AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:1807.00154 · pith:2018:AALDSLN4ASO2GX7QMGW2R765CA

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Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/AALDSLN4ASO2GX7QMGW2R765CA/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.